×

Exceptional Science Students Shine at Regeneron Westchester Science & Engineering Fair

Iona Prep Students Win Regeneron Science Fair Division Awards

Exceptional Science Students Shine at Regeneron Westchester Science & Engineering Fair

Two exceptional students from Iona Prep recently received division awards at the 2024 Regeneron Westchester Science & Engineering Fair. Senior Aydan Gerber and junior Mateo Del Rio Lanse showcased their outstanding work at the competition, which took place on March 16th at Somers High School. Over 700 high school students from Westchester, Putnam, and Sullivan Counties participated in the event.

At the fair, Gerber earned a division award for his project that involved developing an algorithm using Python to analyze keyword frequency and identify significant topics of discussion under the #sustainability hashtag on Twitter. His results were published by Cambridge University Press in February. Meanwhile, Del Rio Lanse worked on improving machine-learning rates by developing three convolutional neural networks that can screen for tumors in brain scans. He also received a division award for his exceptional work.

The Regeneron Westchester Science & Engineering Fair aims to inspire high school students in Westchester, Putnam, and Sullivan Counties to engage in hands-on science and research. By providing a platform for these students to showcase their work, the fair helps promote innovation and academic excellence. The top 20 projects from the competition will advance to the Regeneron International Science & Engineering Fair, where students will have the opportunity to present their research on a global stage.

Gerber’s project demonstrates how social media can be used to analyze trends and identify significant topics of discussion related to sustainability. His algorithm was able to accurately identify keywords related to sustainability within tweets that included this hashtag. This work highlights how technology can be used to analyze large amounts of data quickly and accurately.

Del Rio Lanse’s project shows how machine learning can be used to improve medical diagnoses. His convolutional neural networks were able to accurately detect tumors in brain scans with high accuracy rates. This work demonstrates how technology can be used to improve healthcare outcomes by analyzing complex medical data.

Both Gerber and Del Rio Lanse are examples of how talented young scientists can use their skills and knowledge to make a difference in their communities through research and innovation.

In conclusion, the Regeneron Westchester Science & Engineering Fair is an excellent platform for high school students in Westchester, Putnam, and Sullivan Counties to engage in hands-on science research while promoting innovation and academic excellence. The top 20 projects from this year’s competition will advance to the Regeneron International Science & Engineering Fair where they will have an opportunity to present their research on a global stage.

Overall, Gerber’s algorithm development using Python is impressive because it is not just about data analysis but also about creating something useful out of it that could help people understand what issues matter most online regarding sustainability discussions.

Similarly, Del Rio Lanse’s development of convolutional neural networks that screen for tumors in brain scans is remarkable because it shows how machine learning algorithms can revolutionize medicine by providing accurate diagnoses with fewer invasive procedures or treatments.

As such, both these projects highlight how science education should focus not only on teaching technical skills but also encourage creativity and innovative thinking among young minds who will shape our future world through science discoveries or technological innovations that solve real-world problems like climate change or diseases affecting millions of people worldwide today.

You May Have Missed